datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
arc-agi3-codex-gpt5.6sol-ls20
ARC-AGI-3 ls20 — Agent Trajectories (codex-gpt5.6sol)
Gameplay trajectories from the harness×model pair codex-gpt5.6sol playing the
ARC-AGI-3 game ls20, part of the
ARA-as-world-model generalization experiment. The agent builds a structured world model
(an Agent-Native Research Artifact) live during play and consults it to crack levels it
cannot solve from cold exploration.
One dataset repo per harness×model×game: sibling repos
arc-agi3-<harness>-<model>-<game> hold the same… See the full description on the dataset page: https://huggingface.co/datasets/AgentNativeResearchLab/arc-agi3-codex-gpt5.6sol-ls20.arc-agi-3-schema-traces
ARC-AGI-3 Schema Gameplay Trajectories
This release contains 50 ARC-AGI-3 gameplay trajectories and a dependency-free
scoring utility. The trajectories are split evenly across two collections:
gpt_5_6_sol/: 25 GPT-5.6 Sol trajectories.
claude_fable_opus/: 25 trajectories from Claude Opus 4.8 and Claude Fable 5.
Each trajectory directory includes run.json, a streamed events.jsonl event
log, sanitized session data, snapshots, and the shareable text/image files
produced during… See the full description on the dataset page: https://huggingface.co/datasets/schema-harness/arc-agi-3-schema-traces.arc-agi3-kimi-k2.7-ar25
ARC-AGI-3 ar25 — Agent Trajectories (kimi-k2.7)
Gameplay trajectories from the harness×model pair kimi-k2.7 playing the
ARC-AGI-3 game ar25, part of the
ARA-as-world-model generalization experiment. The agent builds a structured world model
(an Agent-Native Research Artifact) live during play and consults it to crack levels it
cannot solve from cold exploration.
One dataset repo per harness×model×game: sibling repos
arc-agi3-<harness>-<model>-<game> hold the same game played by… See the full description on the dataset page: https://huggingface.co/datasets/AgentNativeResearchLab/arc-agi3-kimi-k2.7-ar25.arc-agi3-agy-gemini3.1pro-tr87
ARC-AGI-3 tr87 — Agent Trajectories (agy-gemini3.1pro)
Gameplay trajectories from the harness×model pair agy-gemini3.1pro playing the
ARC-AGI-3 game tr87, part of the
ARA-as-world-model generalization experiment. The agent builds a structured world model
(an Agent-Native Research Artifact) live during play and consults it to crack levels it
cannot solve from cold exploration.
One dataset repo per harness×model×game: sibling repos
arc-agi3-<harness>-<model>-<game> hold the same… See the full description on the dataset page: https://huggingface.co/datasets/AgentNativeResearchLab/arc-agi3-agy-gemini3.1pro-tr87.arc-agi3-agy-gemini3.1pro-g50t
ARC-AGI-3 g50t — Agent Trajectories (agy-gemini3.1pro)
Gameplay trajectories from the harness×model pair agy-gemini3.1pro playing the
ARC-AGI-3 game g50t, part of the
ARA-as-world-model generalization experiment. The agent builds a structured world model
(an Agent-Native Research Artifact) live during play and consults it to crack levels it
cannot solve from cold exploration.
One dataset repo per harness×model×game: sibling repos
arc-agi3-<harness>-<model>-<game> hold the same… See the full description on the dataset page: https://huggingface.co/datasets/AgentNativeResearchLab/arc-agi3-agy-gemini3.1pro-g50t.arc_agi_3_public_demo_human_testing
Dataset Card for ARC-AGI 3 Public Demo Human Testing
Dataset Summary
This dataset contains human gameplay logs and trajectories from the ARC-AGI 3 public demo. It is a fully open-source dataset created by the ARC Prize.
The primary purpose of publishing this dataset on Hugging Face is to make it easily accessible and convenient for participants in the Kaggle ARC Prize 2026 Competition.
The implementation and source code used to process and upload this dataset to… See the full description on the dataset page: https://huggingface.co/datasets/magic-sword/arc_agi_3_public_demo_human_testing.arc-agi-3-schema-traces
ARC-AGI-3 Schema Gameplay Trajectories
This release contains 50 ARC-AGI-3 gameplay trajectories and a dependency-free
scoring utility. The trajectories are split evenly across two collections:
gpt_5_6_sol/: 25 GPT-5.6 Sol trajectories.
claude_fable_opus/: 25 trajectories from Claude Opus 4.8 and Claude Fable 5.
Each trajectory directory includes run.json, a streamed events.jsonl event
log, sanitized session data, snapshots, and the shareable text/image files
produced during… See the full description on the dataset page: https://huggingface.co/datasets/JBrightmanAI/arc-agi-3-schema-traces.arc-agi3-agy-gemini3.1pro-su15
ARC-AGI-3 su15 — Agent Trajectories (agy-gemini3.1pro)
Gameplay trajectories from the harness×model pair agy-gemini3.1pro playing the
ARC-AGI-3 game su15, part of the
ARA-as-world-model generalization experiment. The agent builds a structured world model
(an Agent-Native Research Artifact) live during play and consults it to crack levels it
cannot solve from cold exploration.
One dataset repo per harness×model×game: sibling repos
arc-agi3-<harness>-<model>-<game> hold the same… See the full description on the dataset page: https://huggingface.co/datasets/AgentNativeResearchLab/arc-agi3-agy-gemini3.1pro-su15.arc-agi-3-full-curriculum
ARC-AGI-3 full transformation curriculum
This release contains 444,000 deterministic multimodal episodes across
five curriculum configs:
stateful: 168,000 episodes over 12 stateful causal families;
search: 76,000 episodes over 6 graph, search, and objective families;
physics: 96,000 episodes over 8 object-physics families.
composition: 64,000 episodes over 8 pairwise mechanic templates, with
complete validation and test pairings absent from training.
ambiguity: 40,000 episodes… See the full description on the dataset page: https://huggingface.co/datasets/ritwika96/arc-agi-3-full-curriculum.arc-agi3-cc-fable5-ft09
ARC-AGI-3 ft09 — Agent Trajectories (cc-fable5)
Gameplay trajectories from the harness×model pair cc-fable5 playing the
ARC-AGI-3 game ft09, part of the
ARA-as-world-model generalization experiment. The agent builds a structured world model
(an Agent-Native Research Artifact) live during play and consults it to crack levels it
cannot solve from cold exploration.
One dataset repo per harness×model×game: sibling repos
arc-agi3-<harness>-<model>-<game> hold the same game played by… See the full description on the dataset page: https://huggingface.co/datasets/AgentNativeResearchLab/arc-agi3-cc-fable5-ft09.arc-agi-3-wm-traces
ARC-AGI-3 World Model Traces
This dataset contains ARC-AGI-3 transition traces in the same parquet schema used by HHazard/arc-agi-3.
Each row is one environment transition:
state, game_id, level_id, action_id, action_args, next_state,
level_done, frame_idx, origin, transformation, player
state and next_state are 64x64 ARC grids stored as nested integer arrays. action_id is the ARC-AGI-3 action kind; click actions use action_args.x and action_args.y.
Splits… See the full description on the dataset page: https://huggingface.co/datasets/fredericowieser/arc-agi-3-wm-traces.kepler-arc-agi-3-traces
Kepler 1.0 ARC-AGI-3 trace corpus
Run artifacts from Kepler 1.0, an open-source agent harness for the 25 public
ARC-AGI-3 games. A stock CLI coding agent
encodes its theory of each game as an executable world_model.py, certifies it
against the full recorded interaction history, plans inside the certified
model, and acts through a guarded channel that voids the plan on the first
misprediction.
Project page ·
Code ·
Paper ·
Integrity record
The canonical release contains two… See the full description on the dataset page: https://huggingface.co/datasets/cveinnt/kepler-arc-agi-3-traces.arc-agi-3-transformation-induction
ARC-AGI-3 transformation induction — scene-v2 phase 1
This release contains 130,000 deterministic multimodal episodes:
104,000 train
12,000 validation
14,000 test
3,250 latent mechanic identities
40 visual skins per identity
The old seed-v1 release was a publication-pipeline fixture and is not training
data. Scene-v2 uses persistent 64x64 game boards with arenas, panels, palettes,
lattices, targets, HUD-like regions and coherent distractors.
Why compact specs… See the full description on the dataset page: https://huggingface.co/datasets/ritwika96/arc-agi-3-transformation-induction.arc-agi-3-publicarc-agi-3arc-agi3-phase2-ar25
ARC-AGI-3 ar25 — ARA snapshots truncated by absolute inference-cost budget
Phase-2 dataset. 6 agents (harness×model) each played ar25, continuously crystallizing a structured world model (Agent-Native Research Artifact). Here each agent's ARA is sliced at fixed absolute cumulative inference-cost budgets — $13/$27/$51/$76 — so you can ask "for a spend of $B, what world model has each agent built?"
Structure
cost_05usd/ cost_15usd/ cost_40usd/ cost_75usd/
<agent>/… See the full description on the dataset page: https://huggingface.co/datasets/AgentNativeResearchLab/arc-agi3-phase2-ar25.arc-agi3-phase2-g50t
ARC-AGI-3 g50t — ARA snapshots truncated by absolute inference-cost budget
Phase-2 dataset. 6 agents (harness×model) each played g50t, continuously crystallizing a structured world model (ARA). Each agent's ARA is sliced at fixed absolute cumulative inference-cost budgets $13/$27/$51/$76 (data-driven natural cost-cluster boundaries).
Structure
cost_13usd/ cost_27usd/ cost_51usd/ cost_76usd/
<agent>/
ara/ frontier.md meta.json
Price table (per… See the full description on the dataset page: https://huggingface.co/datasets/AgentNativeResearchLab/arc-agi3-phase2-g50t.arc-agi-3-teaching-suite
ARC-AGI-3 teaching suite
100 grid-reasoning tasks across 16 puzzle families, with two splits:
split
rows
answers in this dataset
why
taught
80
yes
16 families x 5 worked examples, each documented in INSTRUCTIONS.md and reasoned through in CHAIN_OF_THOUGHT.md
heldout
20
no
16 unseen instances of the same families, plus 4 tasks that are provably not solvable by reasoning from their examples
The teaching material is what makes this a teaching suite rather than a… See the full description on the dataset page: https://huggingface.co/datasets/dnhkng/arc-agi-3-teaching-suite.big-arc-agi-3arc-agi-3-schema-traces-gpt56
ARC-AGI-3 Schema Gameplay Trajectories — GPT-5.6 Sol
This release contains every gpt-5.6-sol gameplay trajectory produced on our
cluster with the world_model_v5 agent harness — 100 runs across the 25 public
ARC-AGI-3 games — plus a dependency-free scoring utility.
It is the GPT-5.6 Sol member of a family built by the same harness and the same
sanitizer, so trajectories can be compared game by game:
arc-agi-3-schema-traces-fable5 — Claude Fable 5, best per game (25)… See the full description on the dataset page: https://huggingface.co/datasets/guanning/arc-agi-3-schema-traces-gpt56.arc-agi-3-schema-traces-opus48
ARC-AGI-3 Schema Gameplay Trajectories — Claude Opus 4.8
This release contains the best claude-opus-4-8 / max trajectory for each of
the 25 public ARC-AGI-3 games, plus a dependency-free scoring utility. It is the
Opus 4.8 counterpart of
arc-agi-3-schema-traces-fable5,
produced by the same agent harness (world_model_v5) and the same sanitizer, so
the two collections can be compared game by game.
Each trajectory directory includes run.json, a streamed events.jsonl event
log… See the full description on the dataset page: https://huggingface.co/datasets/guanning/arc-agi-3-schema-traces-opus48.arc-agi-mixed-max4096-qwenabsgen-all-flat-train-Qwen3-4B-Thinking-2507-samp1-abs-allarc-agi-3-schema-traces-gpt56-xhigh
ARC-AGI-3 Schema Gameplay Trajectories — GPT-5.6 Sol (xhigh)
The best gpt-5.6-sol trajectory at xhigh reasoning effort for each of the
25 public ARC-AGI-3 games, produced with the world_model_v5 agent harness.
This release exists to make the cross-model comparison single-effort on all
sides. Its siblings are each one model at one effort, but the
gpt-5.6-sol collection in
arc-agi-3-schema-gameplay
is a mix of xhigh and max (16 games + 9 games), so it is not directly
comparable to… See the full description on the dataset page: https://huggingface.co/datasets/guanning/arc-agi-3-schema-traces-gpt56-xhigh.arc-agi-mixed-max4096-qwenabsgen-all-flat-train-Qwen3-4B-Thinking-2507-samp1-abs-all-validarc-agi-3-publicarc-agi-mixed-max4096-qwenabsgen-all-flat-train-Qwen3-4B-Thinking-2507-samp1-abs-4of16arc-agi-mixed-barc-train-Qwen3-4B-samp16-allarc-agi-all-Qwen3-4B-samp16-4of8arc-agi-mixed-barc-train-Qwen3-4B-samp16-all-validarc-agi-mixed-max4096-qwenabsgen-all-flat-train-Qwen3-4B-Thinking-2507-samp1-abs-10of16